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Head of Data Research

ComplyAdvantage
CompanyComplyAdvantage
CategoryData & Analytics
LocationCluj-Napoca
RemoteOn-site (inferred)
EmploymentNot stated
LevelDirector
SalaryNot stated by the employer
Posted7 Jul 2026
Last verified9 Aug 2026
SourceEmployer ATS (greenhouse)
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Description
Impact in this role Data is at the core of everything ComplyAdvantage offers. The breadth, quality, and depth of our data is what sets our financial crime prevention platform apart, and this role is responsible for keeping it that way. As Head of Data Research, you will lead the research teams that identify, evaluate, and integrate the data sources behind our platform. You will set the direction: deciding which initiatives matter most, prioritising them against product strategy and regulatory change, and assigning delivery to your managers and team leads. They implement; you make sure the team is working on the right things, at the right time, for the right reasons. You will also be the team's voice at the leadership level and in the industry, presenting research findings and strategic recommendations to product leadership, supporting commercial conversations with prospects and clients, and raising the profile of data research inside and outside the company. What you will own Strategy and prioritization Define and maintain a global data research strategy aligned with product strategy, market demands, and regulatory developments, translating it into a prioritized roadmap of initiatives for the team. Monitor global legislative and regulatory change affecting our customers, and turn that intelligence into concrete data sourcing and coverage decisions. Work with Product and Technology leadership on build, buy, or partner decisions for key initiatives, contributing data expertise to ensure sound choices and efficient use of resources. Team leadership Lead a team of researchers, team leads, and managers, setting clear objectives and creating the conditions for high performance while delivery of initiatives sits with your managers. Develop team capability through training plans, mentoring, and career development, building a bench of leaders who can operate independently. Own workload planning and capacity forecasting, so the business has a reliable view of what the team can deliver in any given period. Performance and reporting Own the team's metrics and KPI reporting on an ongoing basis, tracking output through the lens of client impact, ARR contribution, and operational efficiency, and presenting progress to senior management. The framework exists; this role keeps it accurate, current, and useful. Uphold the quality and reliability of data sources through the team's validation and testing processes, ensuring sourcing decisions meet both regulatory standards and our own benchmarks for ethical data use and privacy. Cross-functional and external impact Partner with Data Science, Engineering, Product Management, Compliance, and Regulatory Affairs to keep data research aligned with platform goals and release plans. Support commercial teams in client and prospect conversations, articulating the value and depth of our data with authority. Champion the adoption of AI across the team's ways of working, including regulatory research, process automation, and client self-service, and represent our data expertise at industry conferences, publications, and forums. Experience and qualifications critical in the role A proven data leader: substantial experience leading research or data teams, with a track record of setting strategy, prioritizing competing initiatives, and delivering results through managers rather than through direct execution. Demonstrated experience working with large, complex datasets, integrating analysis into research findings that support evidence-based decisions on non-routine questions. Experience running team performance frameworks: KPIs, capacity planning, and output forecasting, with the discipline to keep reporting accurate and decision-ready. A current understanding of AML legislation, global compliance recommendations, and industry practices, with the judgment to translate regulatory change into data requirements. Strong stakeholder manag